Abstract: This disclosure describes systems, methods, and devices related to linear regression models and machine learning models for generating vehicle prices. A device may receive information associated with a vehicle, information associated with a dealer selling the vehicle, and market information indicative of previous sales of similar vehicles. The device may generate probabilities of sale of the vehicle at respective price positions based on the information. The device may generate a price elasticity curve for the vehicle based on the probabilities of sale. The device may generate a vehicle score represented by a supply line that is associated with the vehicle based on the information. The device may identify a first intersection of the supply line and the price elasticity curve, generate a market rank based on the intersection, and generate a recommended price for the vehicle based on the market rank as an input to a machine learning model.

Abstract: This disclosure describes systems, methods, and devices related to predictive modeling for evaluating vehicles. A device may receive vehicle information including a make, model, and year of a first vehicle. The device may determine a competitive set of vehicles that are of the same make, model, and year as the first vehicle, and that have with an odometer reading and a daily sale rate during a period of time. The device may determine, based on the odometer reading, an odometer-adjusted Cost to Market for the first vehicle. The device may determine, based on the daily sale rate during the period of time, a Market Day's Supply of the first vehicle. The device may determine, based on the Market Day's Supply and the odometer-adjusted Cost to Market, a vehicle score of the first vehicle. The device may send presentation data indicative of the vehicle score.

Abstract: The present disclosure relates to computer-implemented systems and methods for searching auction data. According to one or more embodiments of the disclosure, a method is provided. The method may include by a server comprising one or more processors, one or more vehicle purchasing parameters input by a dealer. In addition, the method may include accessing auction data from a plurality of vehicle auctions, the auction data associated with one or more vehicles being auctioned at one or more of the plurality of vehicle auctions. Furthermore, the method may include determining from the auction data, based at least in part on the one or more vehicle purchasing parameters, at least one potential vehicle, of the one or more vehicles, to purchase.

Abstract: Systems and methods for determining one or more vehicles that are desirable for stocking an inventory of a dealer may include receiving one or more vehicle purchasing parameters from a dealer; receiving one or more behavior metrics associated with one or more consumers of at least one of the dealer, a vehicle wholesaler, or a vehicle retailer; determining, based at least in part on the vehicle purchasing parameters and the behavior metrics, one or more vehicles; determining, based at least in part on the vehicle purchasing parameters and the behavior metrics, a justifiable purchase price for the vehicles; determining a location of the vehicles; and determining, based at least in part on the justifiable purchase price and the location of the vehicles, at least a portion of the vehicles for restocking an inventory of the dealer.

Abstract: Systems and methods for determining one or more vehicles that are desirable for stocking an inventory of a dealer may include receiving one or more vehicle purchasing parameters from a dealer; receiving one or more behavior metrics associated with one or more consumers of at least one of the dealer, a vehicle wholesaler, or a vehicle retailer; determining, based at least in part on the vehicle purchasing parameters and the behavior metrics, one or more vehicles; determining, based at least in part on the vehicle purchasing parameters and the behavior metrics, a justifiable purchase price for the vehicles; determining a location of the vehicles; and determining, based at least in part on the justifiable purchase price and the location of the vehicles, at least a portion of the vehicles for restocking an inventory of the dealer.

Abstract: The invention includes a method and system to provide a competitive pricing tool so that automobile dealers can more efficiently and effectively price their used vehicles. The system achieves the optimal sales price by obtaining the relevant pricing and mileage of vehicles for sale that are similarly situated to the focus vehicle. Once the information is obtained, the system creates a value ranking for each of the vehicles for sale and for the focus vehicle. The user is then able to revise the focus vehicle pricing to determine the optimal sales price.

Abstract: The invention provides information to the potential customer about the vehicle for sale, including information relating to other similar vehicles for sale in a particular geographical area that can be accessed at the point of sale, or by the customer at a later time and place. The party offering the product for sale is informed each time the customer accesses the information, thereby indicating the level of interest by the customer.

Abstract: A preferred embodiment of the invention includes a method and system to provide a competitive pricing tool so that automobile dealers can more efficiently and effectively price their used vehicles. The system achieves the optimal sales price by obtaining the relevant pricing and mileage of vehicles for sale that are similarly situated to the focus vehicle. Once the information is obtained, the system creates a value ranking for each of the vehicles for sale and for the focus vehicle. The user is then able to revise the focus vehicle pricing to determine the optimal sales price.

Abstract: A preferred embodiment of the invention includes a method and system to achieve improved profitability, liquidity and operational stability of a used vehicle operation. In broad overview, one embodiment of the invention includes four main aspects including the establishment of departmental objectives as a predetermined metric, the integration of the most current market and inventory information into an existing business process, the assessment of strategic impact of each key decision at a transactional level by calculating a real time performance metric and comparing the real time performance metric to the predetermined baseline or target metric and providing visibility and accountability of all key decisions.